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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** CYNET SYSTEMS INC. - **Location:** Anchorage, AK, United States - **Salary:** $104,000.0 - $114,400.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Microsoft Azure, Big Data, Cloud Computing, Cloud Database, Code Review, Computer Programming, Databases, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Relational Databases, DevOps, Apache Hadoop, Python (Programming Language), PostgreSQL, Meta-Data Management, Microsoft SQL Server, Oracle (Applications), Scrum Methodology, Shell Script, SQL Databases, Unstructured Data, Data Ingestion, Fast Healthcare Interoperability Resources, Snowflake, Apache Spark, Git, Data Lakes, Pyspark, Information Technology, Data Lineage, Health Level Seven International, Apache Kafka, Data Management, Machine Learning Operations, Data Delivery, Azure Synapse Analytics, Data Pipelines, Jenkins, Databricks - **Published:** August 13, 2026 - **Apply:** https://www.careerjet.com/jobad/us8cca60ca8e2ae8f54b1ae561ccd83ba5 ## About the Role * Strong expertise in cloud-based data engineering, ETL/ELT development, and big data technologies. * Experience working in healthcare environments. * Proficiency in AWS (Glue, EMR, Lambda, S3, Redshift, Athena) or Azure (ADF, Data Lake, Synapse, Databricks). * Experience with databases such as SQL Server, Oracle, PostgreSQL, or Snowflake. * Strong programming skills in Python, SQL, PySpark, and Shell Scripting. * Knowledge of Big Data Technologies including Apache Spark and Hadoop Ecosystem. * Experience with DevOps and CI/CD tools like Git and Jenkins/Azure DevOps. * Familiarity with Agile/Scrum methodology. * Knowledge of healthcare data standards such as HL7, FHIR, ICD, and CPT is preferred. * Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or related field., * Experience in Healthcare, Health Insurance, or Life Sciences domain. * Exposure to AI/ML data pipelines and MLOps frameworks. * Experience with Kafka. * Experience with Snowflake, Databricks, or modern cloud-native data platforms. Skills: * Data Engineering. * Data Pipeline Development. * ETL/ELT Design. * Data Warehousing. * Dimensional & Relational Data Modeling. * Data Lake Architecture. * Data Quality. * Data Governance. * AWS. * Azure. * Python. * SQL. * PySpark. * Apache Spark. * CI/CD. Qualification And Education: * Strong analytical and problem-solving skills. * Excellent communication and presentation skills. * Ability to communicate effectively with stakeholders. * Ability to work independently in fast-paced environments. * Strong collaboration and mentoring capabilities. ## Description * Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data. * Build and optimize data ingestion frameworks from multiple source systems, APIs, databases, and cloud platforms. * Develop and maintain enterprise data models, data warehouses, and data lakes. * Ensure high levels of data quality, integrity, security, and governance across data platforms. * Collaborate with business analysts, architects, data scientists, and application teams to understand data requirements. * Implement data transformation, validation, reconciliation, and monitoring processes. * Optimize performance of large-scale data pipelines and database workloads. * Support analytics, reporting, AI/ML, and advanced data science initiatives through reliable data delivery. * Implement metadata management, lineage tracking, and data cataloging solutions. * Troubleshoot production issues and perform root cause analysis for data-related incidents. * Participate in code reviews, architecture discussions, and technical design sessions. * Ensure adherence to healthcare regulatory and compliance requirements, including HIPAA and data privacy standards. * Work with distributed teams across multiple locations and support enterprise-scale data initiatives. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)